• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过数字追踪、医疗服务提供者决策支持系统以及借助移动设备与目标客户进行沟通,以改善初级卫生保健。

Digital tracking, provider decision support systems, and targeted client communication via mobile devices to improve primary health care.

作者信息

Agarwal Smisha, Chin Weng Yee, Vasudevan Lavanya, Henschke Nicholas, Tamrat Tigest, Foss Hakan Safaralilo, Glenton Claire, Bergman Hanna, Fønhus Marita S, Ratanaprayul Natschja, Pandya Shivani, Mehl Garrett L, Lewin Simon

机构信息

Center for Global Digital Health Innovation, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Department of Family Medicine and Primary Care, The University of Hong Kong, Hong Kong, Hong Kong.

出版信息

Cochrane Database Syst Rev. 2025 Apr 7;4(4):CD012925. doi: 10.1002/14651858.CD012925.pub2.

DOI:10.1002/14651858.CD012925.pub2
PMID:40193137
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11975193/
Abstract

BACKGROUND

Digital tracking on mobile devices, combined with clinical decision support systems and targeted client communication, can facilitate service delivery and potentially improve outcomes.

OBJECTIVES

To assess the effects of using a mobile device to track service use when combined with clinical decision support (Tracking + CDSS), with targeted client communications (Tracking + TCC), or both (Tracking + CDSS + TCC).

SEARCH METHODS

Cochrane CENTRAL, MEDLINE, Embase, Ovid Population Information Online (POPLINE), K4Health and WHO Global Health Library (2000 to November 2022).

SELECTION CRITERIA

Randomised and non-randomised trials in community/primary care settings.

PARTICIPANTS

primary care providers and clients Interventions: 1. Tracking + CDSS 2. Tracking + TCC 3. Tracking + CDSS + TCC Comparators: usual care (without digital tracking) DATA COLLECTION AND ANALYSIS: Two authors independently screened trials, extracted data and assessed risk of bias using the RoB 1 tool. We used a random-effects model to meta-analyse data producing risk differences (RD), risk ratios (RR), or odds ratios (OR) for dichotomous outcomes and mean differences (MD) for continuous outcomes. Evidence certainty was assessed using GRADE.

MAIN RESULTS

We identified 18 eligible studies (11 randomised, seven non-randomised) conducted in Bangladesh, China, Ethiopia, India, Kenya, Palestine, Uganda, and the USA. All non-randomised studies had a high risk of bias. These results are from randomised studies. 'Probably/may/uncertain' indicates 'moderate/low/very low' certainty evidence. Tracking + CDSS Relating to antenatal/ postnatal care: Providers' adherence to recommendations May slightly increase home visits in the week following delivery (2 studies, 4531 participants; RD 0.10 [0.07, 0.14]) May slightly increase counselling for initiating complementary feeding (2 studies, 4397 participants; RD 0.12 [0.08, 0.15]) May slightly increase the mean number of home visits in the month following delivery (1 study, 3023 participants; MD 0.75 [0.47, 1.03]) Uncertain effect on home visits within 24 hours of delivery Clients' health behaviours May slightly increase skin-to-skin care (1 study, 1544 participants; RD 0.05 [0.00, 0.10]) May slightly increase early breastfeeding (2 studies, 4540 participants; RD 0.08 [0.05, 0.12]) Uncertain effects on applying nothing to the umbilical cord, taking ≥ 90 iron-folate tablets during pregnancy, exclusively breastfeeding for six months, delaying the newborn's bath at least two days and Kangaroo Mother Care. Clients' health status May reduce low birthweight babies (1 study, 3023 participants; RR 0.53 [0.38, 0.73]) May increase infants with pneumonia or fever seeking care (1 study, 3470 participants; RR 1.13 [1.03, 1.24]) Uncertain effects on stillbirths, neonatal and infant deaths, or testing positive for HIV during antenatal testing Tracking + TCC Clients' health status In stroke patients over 12 months: May slightly increase blood pressure (BP) medication adherence (1 study, 1226 participants; RR 1.10 [1.00, 1.21]) May reduce deaths (1 study, 1226 participants; RR 0.52 [0.28, 0.96]) May slightly reduce systolic BP (1 study, 1226 participants; MD -2.80 mmHg [-4.90, -0.70]) May slightly improve EQ-5D scores (1 study, 1226 participants; MD 0.04 [0.02, 0.06]) May reduce stroke hospitalisations (1 study, 1226 participants; RR 0.45 [0.32, 0.64]). Tracking + CDSS + TCC Providers' adherence to recommendations Probably increases guideline adherence for antenatal screening and management of anaemia (1 study, 10,502 participants; OR 1.88 [1.52, 2.32]), diabetes (1 study, 8669 participants; OR 1.45 [1.14, 1.84}), hypertension (1 study, 15,555 participants; OR 1.62 [1.29, 2.04]) and probably leads to lower adherence for abnormal foetal growth (1 study, 1165 participants; OR 0.59 [0.37, 0.95]). May slightly increase nevirapine prophylaxis in infants of HIV+ve mothers (1 study, 609 participants; OR 1.75 [0.73, 4.19]) Data quality In pregnant women (1 study, 6367 participants), tracking + CDSS + TCC: Probably slightly reduces missing data for haemoglobin (RR 0.77 [0.71, 0.84]) but slightly more for BP at delivery (RR 1.16 [1.08, 1.24]) May have little or no effect on missing data on gestational age (RR 0.96 [0.81, 1.14]) or birthweight (RR 0.90 [0.77, 1.04]) Clients' health behaviour May have little or no effect on being on anti-retroviral therapy at delivery (1 study, 438 participants; OR 1.41 [0.81, 2.45]) or exclusive breastfeeding for six months (1 study, 695 participants; OR 1.74 [0.95, 3.17]) in HIV+ve mothers Uncertain effects on physical activity in high cardiovascular-risk adults Clients' health status May reduce the number of deaths in patients with hypertension and diabetes (1 study, 3698 participants; OR 0.61 [0.35, 1.06]) May reduce new cardiovascular events in high-cardiovascular risk adults over 6-18 months (1 study, 8642 participants; OR 0.58 [0.42, 0.80}) May slightly decrease in antenatal women severe hypertension, but the confidence interval includes both a decrease and increase (1 study, 6367 participants; OR 0.61 [0.27, 1.37]) In women receiving antenatal care (1 study, 6367 participants), tracking + CDSS + TCC maymake little or no difference to adverse pregnancy outcomes (OR 0.99 [0.87, 1.12]), moderate or severe anaemia (OR 0.82 [0.51, 1.31]), or large-for-gestational-age babies (OR 1.06 [0.90, 1.25]). In adults with hypertension or diabetes (1 study, 3324 participants), tracking + CDSS + TCC maymake little or no difference to HbA1c (MD 0.08 [-0.27, 0.43]), total cholesterol (MD -2.50 [-7.10, 2.10]), 10-year cardiovascular risk (MD -0.40 [-2.30, 1.50]), tobacco use (MD-0.05 [-0.47, 0.37]), alcohol use (MD 0.70 [-3.70, 5.10]), or PHQ-9 (MD -1.60 [-4.40, 1.20]). Uncertain effects on maternal or infant mortality before the baby reaches 18 months in HIV-positive mothers, patients who achieve optimal BP, BP controlled at five years, diastolic or systolic BP, body mass index, fasting glucose and quality of life in adults with hypertension or diabetes Client service utilisation May have little or no effect on missed early infant diagnosis visits (1 study, 1183 participants; OR 0.92 [0.63, 1.35]). Uncertain effects on linkage to care Client satisfaction Probably increases slightly the number of adults with hypertension or diabetes reporting "slightly/much better" change in the quality of care (1 study, 3324 participants; RR 1.02 [1.00, 1.03]). No studies evaluated time between presentation and appropriate management, timeliness of receiving/accessing care, provider acceptability/satisfaction, resource use, or unintended consequences.

AUTHORS' CONCLUSIONS: Digital tracking may improve primary care workers' ability to follow recommended antenatal and chronic disease practices, quality of patient records, patient health outcomes and service use. However, these interventions led to small or no outcome differences in most studies.

摘要

背景

移动设备上的数字追踪,结合临床决策支持系统和有针对性的客户沟通,可以促进服务提供,并有可能改善结果。

目的

评估将移动设备与临床决策支持(追踪+临床决策支持系统)、有针对性的客户沟通(追踪+目标客户沟通)或两者结合(追踪+临床决策支持系统+目标客户沟通)相结合来追踪服务使用情况的效果。

检索方法

考克兰系统评价数据库、医学期刊数据库、荷兰医学文摘数据库、Ovid在线人口信息数据库(POPLINE)、K4健康数据库和世界卫生组织全球健康图书馆(2000年至2022年11月)。

入选标准

社区/初级保健环境中的随机和非随机试验。

参与者

初级保健提供者和客户干预措施:1. 追踪+临床决策支持系统 2. 追踪+目标客户沟通 3. 追踪+临床决策支持系统+目标客户沟通 对照:常规护理(无数字追踪) 数据收集与分析:两位作者独立筛选试验、提取数据并使用RoB 1工具评估偏倚风险。我们使用随机效应模型对数据进行荟萃分析,得出二分结果的风险差异(RD)、风险比(RR)或比值比(OR)以及连续结果的均值差异(MD)。使用GRADE评估证据的确定性。

主要结果

我们确定了在孟加拉国、中国、埃塞俄比亚、印度、肯尼亚、巴勒斯坦、乌干达和美国进行的18项符合条件的研究(11项随机研究,7项非随机研究)。所有非随机研究都有很高的偏倚风险。这些结果来自随机研究。“可能/也许/不确定”表示“中等/低/极低”确定性证据。 追踪+临床决策支持系统 与产前/产后护理相关:提供者对建议的依从性 可能会使产后一周内的家访略有增加(2项研究,4531名参与者;RD 0.10 [0.07, 0.14]) 可能会使开始添加辅食咨询略有增加(2项研究,4397名参与者;RD 0.12 [0.08, 0.15]) 可能会使产后一个月内的家访平均次数略有增加(1项研究,3023名参与者;MD 0.75 [0.47, 1.03]) 对分娩后24小时内的家访影响不确定 客户的健康行为 可能会使皮肤接触护理略有增加(1项研究,1544名参与者;RD 0.05 [0.00, 0.10]) 可能会使早期母乳喂养略有增加(2项研究,4540名参与者;RD 0.08 [0.05, 0.12]) 对脐带不做处理、孕期服用≥90片铁叶酸片、纯母乳喂养六个月、推迟新生儿洗澡至少两天以及袋鼠式护理的影响不确定 客户的健康状况 可能会减少低体重儿(1项研究,3023名参与者;RR 0.53 [0.38, 0.73]) 可能会使肺炎或发热婴儿寻求护理的人数增加(1项研究,3470名参与者;RR 1.13 [1.03, 1.24]) 对死产、新生儿和婴儿死亡或产前检测中HIV检测呈阳性的影响不确定 追踪+目标客户沟通 客户的健康状况 在12个月以上的中风患者中: 可能会使血压(BP)药物依从性略有增加(1项研究,1226名参与者;RR 1.10 [1.00, 1.21]) 可能会降低死亡率(1项研究,1226名参与者;RR 0.52 [0.28, 0.96]) 可能会使收缩压略有降低(1项研究,1226名参与者;MD -2.80 mmHg [-4.90, -0.70]) 可能会使EQ-5D评分略有改善(1项研究,1226名参与者;MD 0.04 [0.02, 0.06]) 可能会减少中风住院次数(1项研究,1226名参与者;RR 0.45 [0.32, 0.64])。 追踪+临床决策支持系统+目标客户沟通 提供者对建议的依从性 可能会提高产前贫血筛查和管理(1项研究,10502名参与者;OR 1.88 [1.52, 2.32])、糖尿病(1项研究,8669名参与者;OR 1.45 [1.14, 1.84])、高血压(1项研究,15555名参与者;OR 1.62 [1.29, 2.04])的指南依从性,可能会导致胎儿生长异常的依从性降低(1项研究,1165名参与者;OR 0.59 [0.37, 0.95])。 可能会使HIV阳性母亲的婴儿中奈韦拉平预防用药略有增加(1项研究,609名参与者;OR 1.75 [0.73, 4.19]) 数据质量 在孕妇中(1项研究,6367名参与者),追踪+临床决策支持系统+目标客户沟通: 可能会使血红蛋白的缺失数据略有减少(RR 0.77 [0.71, 0.84]),但分娩时血压的缺失数据略有增加(RR 1.16 [1.08, 1.24]) 对孕周(RR 0.96 [0.81, 1.14])或出生体重(RR 0.90 [0.77, 1.04])的缺失数据可能影响很小或没有影响 客户的健康行为 对分娩时接受抗逆转录病毒治疗(1项研究,438名参与者;OR 1.41 [0.81, 2.45])或HIV阳性母亲纯母乳喂养六个月(1项研究,695名参与者;OR 1.74 [0.95, 3.17])可能影响很小或没有影响 对心血管高危成年人的身体活动影响不确定 客户的健康状况 可能会降低高血压和糖尿病患者的死亡人数(1项研究,3698名参与者;OR 0.61 [0.35, 1.06]) 可能会降低心血管高危成年人在6至18个月内的新心血管事件(1项研究,8642名参与者;OR 0.58 [0.42, 0.80]) 可能会使产前妇女的严重高血压略有降低,但置信区间包括降低和升高两种情况(1项研究,6367名参与者;OR 0.61 [0.27, 1.37]) 在接受产前护理的妇女中(1项研究,6367名参与者),追踪+临床决策支持系统+目标客户沟通对不良妊娠结局(OR 0.99 [0.87, 1.12])、中度或重度贫血(OR 0.82 [0.51, 1.31])或大于胎龄儿(OR 1.06 [0.90, 1.25])可能影响很小或没有影响。 在患有高血压或糖尿病的成年人中(1项研究,3324名参与者),追踪+临床决策支持系统+目标客户沟通对糖化血红蛋白(MD 0.08 [-0.27, 0.43])、总胆固醇(MD -2.50 [-7.10, 2.10])、10年心血管风险(MD -0.40 [-2.30, 1.50])、烟草使用(MD -0.05 [-0.47, 0.37])、酒精使用(MD 0.70 [-3.70, 5.10])或PHQ-9(MD -1.60 [-4.40, 1.20])可能影响很小或没有影响。 对HIV阳性母亲、达到最佳血压的患者、五年内血压得到控制的患者、舒张压或收缩压、体重指数、空腹血糖以及高血压或糖尿病成年人的生活质量在婴儿18个月前的母婴死亡率影响不确定 客户服务利用 对错过的早期婴儿诊断就诊可能影响很小或没有影响(1项研究,1183名参与者;OR 0.92 [0.63, 1.35])。 对与护理的联系影响不确定 客户满意度 可能会使报告护理质量“略有/大幅改善”的高血压或糖尿病成年人数量略有增加(1项研究,3324名参与者;RR 1.02 [1.00, 1.03])。 没有研究评估就诊与适当管理之间的时间、接受/获得护理的及时性、提供者的可接受性/满意度、资源使用或意外后果。

作者结论

数字追踪可能会提高初级保健工作者遵循推荐的产前和慢性病诊疗规范的能力、患者记录质量、患者健康结局和服务使用情况。然而,在大多数研究中,这些干预措施导致的结果差异很小或没有差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/cfc60aafea09/tCD012925-CMP-003.09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/a1c54767a5b1/nCD012925-FIG-01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/bea08c90fa7e/tCD012925-FIG-02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/2c83a06ef1cd/tCD012925-FIG-03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/10403ec33886/tCD012925-FIG-04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/447d577a46c2/tCD012925-CMP-001.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/c56dc0cb8009/tCD012925-CMP-001.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/35653b15f25a/tCD012925-CMP-001.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/0732d469d66f/tCD012925-CMP-001.04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/37f2e0a8f06c/tCD012925-CMP-001.05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/1b3f8ad20878/tCD012925-CMP-001.06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/eff2d0966be1/tCD012925-CMP-001.07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/109b95cb0d34/tCD012925-CMP-001.08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/a4758aab72e6/tCD012925-CMP-002.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/1b50ce35824a/tCD012925-CMP-002.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/f8aa842c92e2/tCD012925-CMP-002.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/ad8ff4f00214/tCD012925-CMP-002.04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/eed0a90d4e17/tCD012925-CMP-002.05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/fe14a1af1734/tCD012925-CMP-003.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/c6a3508829f8/tCD012925-CMP-003.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/07085c47f26f/tCD012925-CMP-003.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/a73e65cba222/tCD012925-CMP-003.04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/147f00161470/tCD012925-CMP-003.05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/2bf947167be7/tCD012925-CMP-003.06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/d56a8523b10f/tCD012925-CMP-003.07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/97273048548f/tCD012925-CMP-003.08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/cfc60aafea09/tCD012925-CMP-003.09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/a1c54767a5b1/nCD012925-FIG-01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/bea08c90fa7e/tCD012925-FIG-02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/2c83a06ef1cd/tCD012925-FIG-03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/10403ec33886/tCD012925-FIG-04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/447d577a46c2/tCD012925-CMP-001.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/c56dc0cb8009/tCD012925-CMP-001.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/35653b15f25a/tCD012925-CMP-001.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/0732d469d66f/tCD012925-CMP-001.04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/37f2e0a8f06c/tCD012925-CMP-001.05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/1b3f8ad20878/tCD012925-CMP-001.06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/eff2d0966be1/tCD012925-CMP-001.07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/109b95cb0d34/tCD012925-CMP-001.08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/a4758aab72e6/tCD012925-CMP-002.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/1b50ce35824a/tCD012925-CMP-002.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/f8aa842c92e2/tCD012925-CMP-002.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/ad8ff4f00214/tCD012925-CMP-002.04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/eed0a90d4e17/tCD012925-CMP-002.05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/fe14a1af1734/tCD012925-CMP-003.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/c6a3508829f8/tCD012925-CMP-003.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/07085c47f26f/tCD012925-CMP-003.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/a73e65cba222/tCD012925-CMP-003.04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/147f00161470/tCD012925-CMP-003.05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/2bf947167be7/tCD012925-CMP-003.06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/d56a8523b10f/tCD012925-CMP-003.07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/97273048548f/tCD012925-CMP-003.08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ac9/11975193/cfc60aafea09/tCD012925-CMP-003.09.jpg

相似文献

1
Digital tracking, provider decision support systems, and targeted client communication via mobile devices to improve primary health care.通过数字追踪、医疗服务提供者决策支持系统以及借助移动设备与目标客户进行沟通,以改善初级卫生保健。
Cochrane Database Syst Rev. 2025 Apr 7;4(4):CD012925. doi: 10.1002/14651858.CD012925.pub2.
2
Targeted client communication via mobile devices for improving maternal, neonatal, and child health.通过移动设备进行有针对性的客户沟通,以改善孕产妇、新生儿和儿童健康。
Cochrane Database Syst Rev. 2020 Jul 14;8(8):CD013679. doi: 10.1002/14651858.CD013679.
3
Decision-support tools via mobile devices to improve quality of care in primary healthcare settings.移动设备决策支持工具改善基层医疗服务质量。
Cochrane Database Syst Rev. 2021 Jul 27;7(7):CD012944. doi: 10.1002/14651858.CD012944.pub2.
4
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
5
Targeted client communication via mobile devices for improving sexual and reproductive health.通过移动设备进行有针对性的客户沟通以改善性健康和生殖健康。
Cochrane Database Syst Rev. 2020 Jul 14;8(8):CD013680. doi: 10.1002/14651858.CD013680.
6
Mobile technologies to support healthcare provider to healthcare provider communication and management of care.支持医疗服务提供者之间沟通及护理管理的移动技术。
Cochrane Database Syst Rev. 2020 Aug 18;8(8):CD012927. doi: 10.1002/14651858.CD012927.pub2.
7
Mobile phone-based interventions for improving adherence to medication prescribed for the primary prevention of cardiovascular disease in adults.基于手机的干预措施,用于提高成年人预防心血管疾病初级预防药物的依从性。
Cochrane Database Syst Rev. 2021 Mar 26;3(3):CD012675. doi: 10.1002/14651858.CD012675.pub3.
8
Schedules for home visits in the early postpartum period.产后访视日程安排。
Cochrane Database Syst Rev. 2021 Jul 21;7(7):CD009326. doi: 10.1002/14651858.CD009326.pub4.
9
Treatment for women with postpartum iron deficiency anaemia.产后缺铁性贫血女性的治疗。
Cochrane Database Syst Rev. 2024 Dec 13;12(12):CD010861. doi: 10.1002/14651858.CD010861.pub3.
10
Automated telephone communication systems for preventive healthcare and management of long-term conditions.用于预防性医疗保健和长期病症管理的自动电话通信系统。
Cochrane Database Syst Rev. 2016 Dec 14;12(12):CD009921. doi: 10.1002/14651858.CD009921.pub2.

引用本文的文献

1
GerenciaVida: Validity Evidence of a Mobile Application for Suicide Behavior Management.生命管理:一款用于自杀行为管理的移动应用程序的效度证据
Int J Environ Res Public Health. 2025 Jul 15;22(7):1115. doi: 10.3390/ijerph22071115.
2
Adapting the WHO ANC digital module for the NAMAI study: Formative research to inform implementation science interventions for enhanced quality service delivery following the WHO SMART guidelines approach.为纳迈研究改编世界卫生组织产前保健数字模块:形成性研究,为遵循世界卫生组织SMART指南方法的提高优质服务提供的实施科学干预措施提供信息。
PLOS Digit Health. 2025 Jun 23;4(6):e0000910. doi: 10.1371/journal.pdig.0000910. eCollection 2025 Jun.
3

本文引用的文献

1
A Mobile Clinical Decision Support System for High-Risk Pregnant Women in Rural India (SMARThealth Pregnancy): Pilot Cluster Randomized Controlled Trial.印度农村地区高危孕妇移动临床决策支持系统(SMARThealth Pregnancy):整群随机对照试验试点
JMIR Form Res. 2023 Jul 20;7:e44362. doi: 10.2196/44362.
2
Randomized trial evaluating an mHealth intervention for the early community-based detection and follow-up of cutaneous leishmaniasis in rural Colombia.评价移动医疗干预措施在哥伦比亚农村地区早期社区发现和随访皮肤利什曼病的随机试验。
PLoS Negl Trop Dis. 2023 Mar 27;17(3):e0011180. doi: 10.1371/journal.pntd.0011180. eCollection 2023 Mar.
3
Healthcare workers' informal uses of mobile phones and other mobile devices to support their work: a qualitative evidence synthesis.
医护人员非正规使用手机和其他移动设备来支持工作:定性证据综合评价。
Cochrane Database Syst Rev. 2024 Aug 27;8(8):CD015705. doi: 10.1002/14651858.CD015705.pub2.
Can digitally enabling community health and nutrition workers improve services delivery to pregnant women and mothers of infants? Quasi-experimental evidence from a national-scale nutrition programme in India.
数字化赋能社区卫生和营养工作者能否改善向孕妇和婴幼儿母亲提供的服务?来自印度全国范围营养方案的准实验证据。
BMJ Glob Health. 2022 Jul;6(Suppl 5). doi: 10.1136/bmjgh-2021-007298.
4
Harnessing new mHealth technologies to Strengthen the Management of Multidrug-Resistant Tuberculosis in Vietnam (V-SMART trial): a protocol for a randomised controlled trial.利用新的移动医疗技术加强越南耐多药结核病管理(V-SMART 试验):一项随机对照试验方案。
BMJ Open. 2022 Jun 22;12(6):e052633. doi: 10.1136/bmjopen-2021-052633.
5
The effect of electronic job aid assisted one-to-one counselling to support exclusive breastfeeding among 0-5-month-old infants in rural Bangladesh.电子工作辅助一对一咨询对支持孟加拉国农村地区 0-5 月龄婴儿纯母乳喂养的效果。
Matern Child Nutr. 2022 Jul;18(3):e13377. doi: 10.1111/mcn.13377. Epub 2022 May 19.
6
A digital health registry with clinical decision support for improving quality of antenatal care in Palestine (eRegQual): a pragmatic, cluster-randomised, controlled, superiority trial.电子健康档案与临床决策支持改善巴勒斯坦产前保健质量(eRegQual):一项实用、整群随机、对照、优效试验。
Lancet Digit Health. 2022 Feb;4(2):e126-e136. doi: 10.1016/S2589-7500(21)00269-7.
7
SMARThealth Pregnancy: Feasibility and Acceptability of a Complex Intervention for High-Risk Pregnant Women in Rural India: Protocol for a Pilot Cluster Randomised Controlled Trial.智能健康孕期项目:印度农村地区高危孕妇复杂干预措施的可行性与可接受性:一项试点整群随机对照试验方案
Front Glob Womens Health. 2021 May 28;2:620759. doi: 10.3389/fgwh.2021.620759. eCollection 2021.
8
Effect of nutrition counselling with a digital job aid on child dietary diversity: Analysis of secondary outcomes from a cluster randomised controlled trial in rural Bangladesh.营养咨询与数字工具相结合对儿童饮食多样性的影响:孟加拉国农村地区一项群组随机对照试验的次要结局分析。
Matern Child Nutr. 2022 Jan;18(1):e13267. doi: 10.1111/mcn.13267. Epub 2021 Aug 31.
9
Decision-support tools via mobile devices to improve quality of care in primary healthcare settings.移动设备决策支持工具改善基层医疗服务质量。
Cochrane Database Syst Rev. 2021 Jul 27;7(7):CD012944. doi: 10.1002/14651858.CD012944.pub2.
10
Effectiveness of a primary care-based integrated mobile health intervention for stroke management in rural China (SINEMA): A cluster-randomized controlled trial.基于初级保健的综合移动医疗干预对中国农村脑卒中管理的效果(SINEMA):一项集群随机对照试验。
PLoS Med. 2021 Apr 28;18(4):e1003582. doi: 10.1371/journal.pmed.1003582. eCollection 2021 Apr.